I will build yolo object detection and computer vision applications
About this Gig
I will train and evaluate a YOLO object detection model using your labeled dataset. You will receive reproducible deliverables, clear evaluation metrics, and an honest explanation of the model's limitations.
This service can include:
Dataset structure and annotation validation
YOLO training or fine-tuning
Train, validation, and test configuration
Precision, recall, mAP50, mAP50-95, and confusion matrix
Trained model weights and dataset configuration
Python inference source code
Optional ONNX or TensorRT export
I have built PCB defect-detection and real-time gameplay-detection pipelines using Python, PyTorch, OpenCV, YOLO/YOLOX, Roboflow, and TensorRT.
Please message me before ordering to confirm the dataset size, label format, classes, target hardware, and deliverables.
Important:
You must provide images you are authorized to use.
The dataset must already be labeled unless annotation is purchased separately.
Accuracy cannot be guaranteed before the data is inspected.
Cloud deployment, API integration, and full application development are not included.
Expertise:
Image processing
•
Object detection
Programming language:
Python
Tools:
Jupyter Notebook
•
OpenCV
•
Other
Frameworks:
PyTorch
•
Other
My Portfolio
FAQ
Does my dataset need to be labeled?
Yes. The listed packages assume a labeled dataset. YOLO TXT is preferred, and I can validate or convert Pascal VOC XML. If your images are unlabeled, contact me for a separate annotation offer.
Can you guarantee a specific accuracy?
No. Performance depends on image quality, label accuracy, class balance, dataset size, and task difficulty. I will report the achieved metrics honestly, but I cannot guarantee a specific score before evaluating the data.
What will I receive?
Depending on your package, you will receive trained YOLO weights, dataset configuration, evaluation metrics, result plots, Python inference code, and model documentation.
What counts as a revision?
A revision covers one reasonable configuration, threshold, or retraining adjustment using the original dataset and class list. New images, new classes, reannotation, or major scope changes are not revisions.
Can you export the model to ONNX or TensorRT?
Yes. Premium includes one compatible model export. Basic and Standard buyers can purchase the Model Export extra. TensorRT compatibility depends on the target NVIDIA GPU, CUDA, and TensorRT versions.
Do you provide data annotation?
Annotation is not included in these packages. Your dataset must already be labeled. If you need bounding-box annotation or label correction, message me first for a separate custom offer.
Is deployment or API integration included?
No. This Gig covers dataset checks, model training, evaluation, inference code, and compatible model export. Cloud deployment, API integration, user interfaces, and complete applications require a separate agreement.
What if my dataset exceeds the package limit?
Purchase the Additional 500 Labeled Images extra or message me for a custom offer. Please do not order a smaller package for a dataset that exceeds its stated image or class limits.

